光谱学与光谱分析
光譜學與光譜分析
광보학여광보분석
SPECTROSCOPY AND SPECTRAL ANALYSIS
2015年
6期
1606-1610
,共5页
王书涛%陈东营%侯培国%王兴龙%王志芳%魏蒙
王書濤%陳東營%侯培國%王興龍%王誌芳%魏矇
왕서도%진동영%후배국%왕흥룡%왕지방%위몽
对羟基苯甲酸甲酯钠%荧光光谱技术%GA-BP神经网络%含量测定
對羥基苯甲痠甲酯鈉%熒光光譜技術%GA-BP神經網絡%含量測定
대간기분갑산갑지납%형광광보기술%GA-BP신경망락%함량측정
Sodium methylparaben%Fluorescence spectrum technology%GA-BP neural network%Content determination
对羟基苯甲酸甲酯钠是一种使用广泛的防腐剂,食用过量将会危害身体健康,因此各国对对羟基苯甲酸甲酯钠的用量有严格规定。采用FS920荧光光谱仪分析了对羟基苯甲酸甲酯钠在水和橙汁溶液中的荧光光谱特性,发现水溶液的荧光特征峰位于λex/λem =380/510 nm ,橙汁溶液两个荧光特征峰,分别位于λex/λem =440/530 nm和470/530 nm ,最佳激发波长为440 nm。从实验结果可以看出两者的特征峰发生了明显的变化。经分析得出,对羟基苯甲酸甲酯钠橙汁溶液与对羟基苯甲酸甲酯钠水溶液相比,荧光特征峰发生变化是由橙汁的荧光特性干扰引起的。为了准确测定鲜橙汁中对羟基苯甲酸甲酯钠含量,根据对羟基苯甲酸甲酯钠橙汁溶液在激发波长λex =440 nm时的相对荧光强度和对羟基苯甲酸甲酯钠含量的关系,基于GA‐BP神经网络构建了橙汁中对羟基苯甲酸甲酯钠含量检测数学模型,当网络训练过程中误差精度达到10-3时,网络输出与期望的相关系数为0.996,预测样本的平均回收率为99.52%,平均相对标准偏差为0.86%,预测结果较为理想。结果证明,当浓度范围为0.02~1.0 g?L -1时,荧光光谱技术和GA‐BP神经网络相结合的方法能够准确地测定鲜橙汁中对羟基苯甲酸甲酯钠的含量,此方法具有新颖简便性,同时有望应用于一般饮品中对羟基苯甲酸酯类钠盐含量的快速测定。
對羥基苯甲痠甲酯鈉是一種使用廣汎的防腐劑,食用過量將會危害身體健康,因此各國對對羥基苯甲痠甲酯鈉的用量有嚴格規定。採用FS920熒光光譜儀分析瞭對羥基苯甲痠甲酯鈉在水和橙汁溶液中的熒光光譜特性,髮現水溶液的熒光特徵峰位于λex/λem =380/510 nm ,橙汁溶液兩箇熒光特徵峰,分彆位于λex/λem =440/530 nm和470/530 nm ,最佳激髮波長為440 nm。從實驗結果可以看齣兩者的特徵峰髮生瞭明顯的變化。經分析得齣,對羥基苯甲痠甲酯鈉橙汁溶液與對羥基苯甲痠甲酯鈉水溶液相比,熒光特徵峰髮生變化是由橙汁的熒光特性榦擾引起的。為瞭準確測定鮮橙汁中對羥基苯甲痠甲酯鈉含量,根據對羥基苯甲痠甲酯鈉橙汁溶液在激髮波長λex =440 nm時的相對熒光彊度和對羥基苯甲痠甲酯鈉含量的關繫,基于GA‐BP神經網絡構建瞭橙汁中對羥基苯甲痠甲酯鈉含量檢測數學模型,噹網絡訓練過程中誤差精度達到10-3時,網絡輸齣與期望的相關繫數為0.996,預測樣本的平均迴收率為99.52%,平均相對標準偏差為0.86%,預測結果較為理想。結果證明,噹濃度範圍為0.02~1.0 g?L -1時,熒光光譜技術和GA‐BP神經網絡相結閤的方法能夠準確地測定鮮橙汁中對羥基苯甲痠甲酯鈉的含量,此方法具有新穎簡便性,同時有望應用于一般飲品中對羥基苯甲痠酯類鈉鹽含量的快速測定。
대간기분갑산갑지납시일충사용엄범적방부제,식용과량장회위해신체건강,인차각국대대간기분갑산갑지납적용량유엄격규정。채용FS920형광광보의분석료대간기분갑산갑지납재수화등즙용액중적형광광보특성,발현수용액적형광특정봉위우λex/λem =380/510 nm ,등즙용액량개형광특정봉,분별위우λex/λem =440/530 nm화470/530 nm ,최가격발파장위440 nm。종실험결과가이간출량자적특정봉발생료명현적변화。경분석득출,대간기분갑산갑지납등즙용액여대간기분갑산갑지납수용액상비,형광특정봉발생변화시유등즙적형광특성간우인기적。위료준학측정선등즙중대간기분갑산갑지납함량,근거대간기분갑산갑지납등즙용액재격발파장λex =440 nm시적상대형광강도화대간기분갑산갑지납함량적관계,기우GA‐BP신경망락구건료등즙중대간기분갑산갑지납함량검측수학모형,당망락훈련과정중오차정도체도10-3시,망락수출여기망적상관계수위0.996,예측양본적평균회수솔위99.52%,평균상대표준편차위0.86%,예측결과교위이상。결과증명,당농도범위위0.02~1.0 g?L -1시,형광광보기술화GA‐BP신경망락상결합적방법능구준학지측정선등즙중대간기분갑산갑지납적함량,차방법구유신영간편성,동시유망응용우일반음품중대간기분갑산지류납염함량적쾌속측정。
Sodium methylparaben as one kind of preservatives is widely used in our life ,but it will do harm to health if it is eaten too much .So there are strict rules on the dosage of sodium methylparaben in every country .The fluorescence spectral properties of sodium methylparaben in aqueous solution and orange juice solution are analyzed with FS 920 fluorescence spectrometer .The research result shows that the fluorescence characteristic peak of sodium methylparaben solution is in λex/λem = 380/510 nm , while sodium methylparaben orange juice solution has two fluorescence characteristic peaks which are in λex/λem = 440/520 nm and 470/530 nm ,and its best excitation wavelength is 440 nm .So it can be concluded from the result that there is a significant change between the characteristic peaks of sodium methylparaben in the two solution .Compared with the fluorescence character‐istic peak of sodium methylparaben solution ,thoses of sodium methylparaben orange juice solution are changed significantly , which are caused by the interference of orange juice fluorescence characteristics .In order to determine the content of sodium methylparaben in the fresh orange juice ,a detection model of sodium methylparaben content in orange juice is built based on GA‐BP neural network ,according to the relationship between fluorescence intensity in λex =440 nm and the content of sodium meth‐ylparaben orange juice solution .When the accuracy of the mean square error in the process of network training reaches 10-3 ,the correlation coefficient of network output and that of the expected is 0.996 .At the same time ,a better prediction result can be obtained that the average recovery of the forecast samples is 98.67% and the average relative standard deviation is 0.86% .When the concentration ranges from 0.02 to 1.0 g?L -1 ,the results testify that detection method based on fluorescence spectroscopy and GA‐BP neural network can accurately determine the content of sodium methylparaben in orange juice .This method has the features of novelty and simplicity and it is expected to be applied to the determination of sodium methylparaben in other kinds of drink .